Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
A fully automated bot quietly captured micro-arbitrage opportunities on short-term crypto prediction markets, netting nearly ...
Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
Abstract: In order to lessen the burden on medical systems and improve patient results, the increasing incidence of diabetes has called for creative strategies for early identification and efficient ...
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